期刊名称：Bulletin of the Institute of Heat Engineering
印刷版ISSN：2083-4187
出版年度：2016
卷号：96
期号：3
页码：183
语种：English
出版社：Warsaw University of Technology
摘要：A new two-stage operation scheduling framework is proposed in this paper to optimize day-ahead (DA) operation of a reconfigurablesmart distribution network (SDN). The SDN contains wind farm as uncertain renewable generation as well asresponsive demand and is operated by a distribution company (DisCo). The DisCo implements nodal hourly pricing as a pricebaseddemand response program (DRP) to modify consumers’ demand profile. Retail prices are determined in the first stageof the proposed scheduling framework, while the best network topology and the bidding strategy of the DisCo in the DA energymarket are determined in the second stage. The two point estimate method (TPEM) is implemented in this paper to modelthe intrinsic uncertainty of wind farm power generation and responsive demand. Finally, the effectiveness of the proposedframework is evaluated in several case studies.
其他摘要：A new two-stage operation scheduling framework is proposed in this paper to optimize day-ahead (DA) operation of a reconfigurable smart distribution network (SDN). The SDN contains wind farm as uncertain renewable generation as well as responsive demand and is operated by a distribution company (DisCo). The DisCo implements nodal hourly pricing as a pricebased demand response program (DRP) to modify consumers’ demand profile. Retail prices are determined in the first stage of the proposed scheduling framework, while the best network topology and the bidding strategy of the DisCo in the DA energy market are determined in the second stage. The two point estimate method (TPEM) is implemented in this paper to model the intrinsic uncertainty of wind farm power generation and responsive demand. Finally, the effectiveness of the proposed framework is evaluated in several case studies.
关键词：Reconfiguration;Smart distribution network (SDN);Demand response;Retail pricing;Wind power generation;Uncertainty
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